Data Engineering for Predictive Analytics
Join us for a hands on session with Google to learn how to build the infrastructure needed to collect, clean, and format data in support of enterprise predictive analytics.
- 2:00 PM
Event Assets
Please login or register for a UWEBC Member Account to access this event's assets.
Description
By now you've likely read or heard that over 85% of big data projects fail, which in turn leads to many data science projects never making it into production. This is largely due to the lack of a reliable data pipeline. Building a dependable data infrastructure is critical to the success of your enterprise predictive analytics program. Join us for this hands on session where we will hear from Robert Loesch, Customer Engineer with Google, on best practices for building a data pipeline that catalyzes the success of your data science projects. Robert will also lead participants through a hands on lab to gain real experience with GCP within a live Google Cloud environment.
Please note that adding the event to your calendar is not the same as registering. Please also use the button above to register for this event.
Agenda Items
| 12:00 PM | Welcome & Opening Remarks |
| 12:05 PM | Building a Data Engineering Pipeline |
| 12:45 PM | Q&A w/ Robert Loesch from GCP |
| 1:00 PM | Hands on Workshop - Building a Data Pipeline in GCP |
| 2:00 PM | Adjourn |
Additional Information
Location: ZoomContact: Events Team, events@uwebc.wisc.edu